DeFiZoro ⚔️

1/ Manufacturing inspection often comes down to small visual differences that are easy to miss at scale. In this demo, @hudsongrae_me walks through a full Sertn workflow: video upload → auto-labeling → model training → inference on copper-coloured thread sections.

Just checked out Sertn, and what impressed me most is how Vision AI uses Proof of Inference. Every prediction can be verified instead of blindly trusted. That's a big win for enterprise AI in manufacturing, aviation. #Sertn #VisionAI #ProofOfInference #EnterpriseAI #AI

As we get ready for the beginning of our May quests tomorrow (l!nk below)... Let's take a second to recognize our mods and Snapmuse.io ambassadors who make our community a fair and safe space. Here's for all their hardworks!

The future of AI isn't just about faster models it's about proving every result can be trusted. Subnet 2 is redefining Verifiable AI with the world's fastest zkML proving cluster, already surpassing 2.2 billion verified proofs on-chain. #zkML #Bittensor #VerifiableAI #Subnet2

AI without verification leaves room for doubt. Subnet 2 changes that with Verifiable AI, 2.2B+ verified proofs on-chain, and zk-powered infrastructure for builders and intelligent agents. #zkML #Bittensor #VerifiableAI #Subnet2

Fast AI is great. Verifiable AI is better. Subnet 2 has already delivered 2.2B+ verified proofs on-chain, giving agents and builders a trust layer powered by zkML. #zkML #Bittensor #VerifiableAI #Subnet2

The next generation of AI needs proof, not blind trust. Subnet 2 powers Verifiable AI with 2.2B+ verified proofs on-chain, enabling builders and inference systems through zero-knowledge oracles. #zkML #Bittensor #VerifiableAI #Subnet2

Trust is becoming AI's biggest challenge. Subnet 2 solves it with Verifiable AI, the world's fastest zkML proving cluster and 2.2B+ verified proofs on-chain. Builders and AI agents finally have cryptographic proof, not just promises. #zkML #Bittensor #VerifiableAI #Subnet2

For builders, agents, and inference systems, this means computation you can actually trust validated through zero-knowledge circuits instead of blind faith. Subnet 2 is quietly becoming the verification layer the next generation of AI infra needs.

@FrankieJonshon For real man

@DeGeneral41 Good information

For builders, agents, and inference systems, this means computation you can actually trust validated through zero-knowledge circuits instead of blind faith. Subnet 2 is quietly becoming the verification layer the next generation of AI infra needs.

Verifiable AI needs verifiable infrastructure that's exactly what Subnet 2 delivers. DSperse has now crossed 2.2 Billion verified proofs on-chain, making it the world's fastest zkML proving cluster. #zkML #Bittensor #VerifiableAI #Subnet2

Bullish on what DSperse is building. 🔥 #zkML #Bittensor #VerifiableAI #Subnet2

@kenny_ken1145 Thanks brother

@DeGeneral41 Gref information

@ItzmarbelRobson You're welcome 🤗

@DeGeneral41 Wow good to know this

For builders, agents, and inference systems, this means computation you can actually trust validated through zero-knowledge circuits instead of blind faith. Subnet 2 is quietly becoming the verification layer the next generation of AI infra needs.

Enterprise AI is moving past pilot theater. The harder phase is production, where outputs affect workflows, audits, contracts, and operational decisions. Sertn is built for that layer: not just running AI, but preserving verifiable records of what happened.

Most AI projects focus on building bigger models. @inference_labs is tackling something just as important: making AI inference verifiable, efficient, and scalable for real-world use. I've also enjoyed their Zealy campaign because it encourages participants.